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Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
20 April 2021
Yingda Xia
Dong Yang
Wenqi Li
Andriy Myronenko
Daguang Xu
Hirofumi Obinata
Hitoshi Mori
P. An
Stephanie Harmon
E. Turkbey
B. Turkbey
B. Wood
F. Patella
Elvira Stellato
G. Carrafiello
A. Ierardi
Alan Yuille
H. Roth
OOD
FedML
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Papers citing
"Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation"
8 / 8 papers shown
Title
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
68
0
0
09 Mar 2025
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
12
29
0
27 Dec 2023
SplitFed resilience to packet loss: Where to split, that is the question
C. Shiranthika
Zahra Hafezi Kafshgari
Parvaneh Saeedi
Ivan V. Bajić
15
2
0
25 Jul 2023
FedGraph: an Aggregation Method from Graph Perspective
Zhifang Deng
Xiaohong Huang
Dandan Li
Xueguang Yuan
FedML
17
0
0
06 Oct 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
19
89
0
05 Aug 2022
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
178
535
0
30 Mar 2020
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
164
1,690
0
18 Mar 2020
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
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